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https://www.readbyqxmd.com/read/28632773/simulation-of-oak-early-life-history-and-interactions-with-disturbance-via-an-individual-based-model-soel
#1
Kenneth F Kellner, Robert K Swihart
Early tree life history and demography are driven by interactions with the environment such as seed predation, herbivory, light availability, and drought. For oak (Quercus) in the eastern United States, these interactions may contribute to oak regeneration failure. Numerous studies have examined the impact of individual factors (like seed predation) on the oak regeneration process, but less information is available on the relative and combined impacts of multiple intrinsic and extrinsic factors on early oak life history...
2017: PloS One
https://www.readbyqxmd.com/read/28626887/using-numerical-plant-models-and-phenotypic-correlation-space-to-design-achievable-ideotypes
#2
Victor Picheny, Pierre Casadebaig, Ronan Trépos, Robert Faivre, David Da Silva, Patrick Vincourt, Evelyne Costes
Numerical plant models can predict the outcome of plant traits modifications resulting from genetic variations, on plant performance, by simulating physiological processes and their interaction with the environment. Optimization methods complement those models to design ideotypes, i.e. ideal values of a set of plant traits resulting in optimal adaptation for given combinations of environment and management, mainly through the maximization of a performance criteria (e.g. yield, light interception). As use of simulation models gains momentum in plant breeding, numerical experiments must be carefully engineered to provide accurate and attainable results, rooting them in biological reality...
June 18, 2017: Plant, Cell & Environment
https://www.readbyqxmd.com/read/28622630/temporal-spatial-patterns-of-three-types-of-pesticide-loadings-in-a-middle-high-latitude-agricultural-watershed
#3
Wei Ouyang, Guanqing Cai, Mats Tysklind, Wanyin Yang, Fanghua Hao, Hongbin Liu
Pesticide loadings to watersheds increase during agricultural development and may vary in accordance with different crop types and seasons. High pesticide loadings can potentially result in polluted stream water. The objective of this study was to determine the pesticide loadings and concentrations of three typical pesticides (atrazine, oxadiazon, and isoprothiolane) in river water from a middle-high latitude agricultural watershed in northern China. During this study, we evaluated the watershed pesticide loss patterns for two crop types over three decades...
June 8, 2017: Water Research
https://www.readbyqxmd.com/read/28611735/the-effects-of-cropping-regimes-on-fungal-and-bacterial-communities-of-wheat-and-faba-bean-in-a-greenhouse-pot-experiment-differ-between-plant-species-and-compartment
#4
Sandra Granzow, Kristin Kaiser, Bernd Wemheuer, Birgit Pfeiffer, Rolf Daniel, Stefan Vidal, Franziska Wemheuer
Many bacteria and fungi in the plant rhizosphere and endosphere are beneficial to plant nutrient acquisition, health, and growth. Although playing essential roles in ecosystem functioning, our knowledge about the effects of multiple cropping regimes on the plant microbiome and their interactions is still limited. Here, we designed a pot experiment simulating different cropping regimes. For this purpose, wheat and faba bean plants were grown under controlled greenhouse conditions in monocultures and in two intercropping regimes: row and mixed intercropping...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28603557/can-the-agricultural-aquacrop-model-simulate-water-use-and-yield-of-a-poplar-short-rotation-coppice
#5
Joanna A Horemans, Hanne Van Gaelen, Dirk Raes, Terenzio Zenone, Reinhart Ceulemans
We calibrated and evaluated the agricultural model AquaCrop for the simulation of water use and yield of a short-rotation coppice (SRC) plantation with poplar (Populus) in East Flanders (Belgium) during the second and the third rotation (first 2 years only). Differences in crop development and growth during the course of the rotations were taken into account during the model calibration. Overall, the AquaCrop model showed good performance for the daily simulation of soil water content (R(2) of 0.57-0.85), of green canopy cover (R(2) > 0...
June 2017: Global Change Biology. Bioenergy
https://www.readbyqxmd.com/read/28600687/carnivore-attractant-or-plant-elicitor-multifunctional-roles-of-methyl-salicylate-lures-in-tomato-defense
#6
Elizabeth Rowen, Michael Gutensohn, Natalia Dudareva, Ian Kaplan
Synthetic plant volatile lures attract natural enemies, but may have non-target effects due to the multifunctional nature of volatile signals. For example, methyl salicylate (MeSA) is used to attract predators, yet also serves as a signaling hormone involved in plant pathogen defense. We investigated the consequences of deploying MeSA lures to attract predators for tomato (Solanum lycopersicum) defense against herbivores. To understand the spatial distribution of the lure's effect, we exposed tomatoes in the field to MeSA along a linear distance gradient and induced defenses by simulating feeding by hornworm caterpillars in a fully crossed factorial design (+/- MeSA, +/- herbivory)...
June 9, 2017: Journal of Chemical Ecology
https://www.readbyqxmd.com/read/28593562/assessing-the-impacts-of-the-changes-in-farming-systems-on-food-security-and-environmental-sustainability-of-a-chinese-rural-region-under-different-policy-scenarios-an-agent-based-model
#7
Chengcheng Yuan, Liming Liu, Xiaoxing Qi, Yonghu Fu, Jinwei Ye
Since China has undergone a series of economic reforms and implemented opening up policies, its farming systems have significantly changed and have dramatically influenced the society, economy, and environment of China. To assess the comprehensive impacts of these changes on food security and environmental sustainability, and establish effective and environment-friendly subsidy policies, this research constructed an agent-based model (ABM). Daligang Town, which is located in the two-season rice region of Southern China, was selected as the case study site...
July 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28592497/increased-power-to-dissect-adaptive-traits-in-global-sorghum-diversity-using-a-nested-association-mapping-population
#8
Sophie Bouchet, Marcus O Olatoye, Sandeep R Marla, Ramasamy Perumal, Tesfaye Tesso, Jianming Yu, Mitch Tuinstra, Geoffrey P Morris
Adaptation of domesticated species to diverse agroclimatic regions has led to abundant trait diversity. However, the resulting population structure and genetic heterogeneity confounds association mapping of adaptive traits. To address this challenge in sorghum [Sorghum bicolor (L.) Moench]-a widely adapted cereal crop-we developed a nested association mapping (NAM) population using 10 diverse global lines crossed with an elite reference line RTx430. We characterized the population of 2214 recombinant inbred lines at 90,000 SNPs using genotyping-by-sequencing...
June 2017: Genetics
https://www.readbyqxmd.com/read/28589283/evaluation-of-focus-surface-water-pesticide-concentration-predictions-and-risk-assessment-of-field-measured-pesticide-mixtures-a-crop-based-approach-under-mediterranean-conditions
#9
Ana Santos Pereira, Michiel A Daam, Maria José Cerejeira
FOCUS models are used in the European regulatory risk assessment (RA) to predict individual pesticide concentrations in edge-of-field surface waters. The scenarios used in higher tier FOCUS simulations were mainly based on Central/North European, and work is needed to underpin the validity of simulated exposure profiles for Mediterranean agroecosystems. In addition, the RA of chemicals are traditionally evaluated on the basis of single substances although freshwater life is generally exposed to a multitude of pesticides...
June 6, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28584274/overexpression-of-pea-dna-helicase-45-pdh45-imparts-tolerance-to-multiple-abiotic-stresses-in-chili-capsicum-annuum-l
#10
Tagginahalli N Shivakumara, Rohini Sreevathsa, Prasanta K Dash, M S Sheshshayee, Pradeep K Papolu, Uma Rao, Narendra Tuteja, M UdayaKumar
Imparting tolerance to abiotic stresses is of global importance as they inflict significant yield losses in field as well as in vegetable crops. Transcriptional activators, including helicases are identified to play a pivotal role in stress mitigation. Helicases, also known as molecular motors, are involved in myriad cellular processes that impart intrinsic tolerance to abiotic stresses in plants. Our study demonstrates the potential of a Pea DNA Helicase 45 (PDH45), in combating multiple abiotic stresses in chili...
June 5, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28582726/the-vibrational-properties-of-the-bee-killer-imidacloprid-insecticide-a-molecular-description
#11
Antônio A G Moreira, Pedro De Lima-Neto, Ewerton W S Caetano, Ito L Barroso-Neto, Valder N Freire
The chemical imidacloprid belongs to the neonicotinoids insecticide class, widely used for insect pest control mainly for crop protection. However, imidacloprid is a non-selective agrochemical to the insects and it is able to kill the most important pollinators, the bees. The high toxicity of imidacloprid requires controlled release and continuous monitoring. For this purpose, high performance liquid chromatography (HPLC) is usually employed; infrared and Raman spectroscopy, however, are simple and viable techniques that can be adapted to portable devices for field application...
May 29, 2017: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/28571844/an-economic-assessment-of-the-health-effects-and-crop-yield-losses-caused-by-air-pollution-in-mainland-china
#12
Weijie Miao, Xin Huang, Yu Song
Air pollution is severe in China, and pollutants such as PM2.5 and surface O3 may cause major damage to human health and crops, respectively. Few studies have considered the health effects of PM2.5 or the loss of crop yields due to surface O3 using model-simulated air pollution data in China. We used gridded outputs from the WRF-Chem model, high resolution population data, and crop yield data to evaluate the effects on human health and crop yield in mainland China. Our results showed that outdoor PM2.5 pollution was responsible for 1...
June 2017: Journal of Environmental Sciences (China)
https://www.readbyqxmd.com/read/28555150/crops-in-silico-generating-virtual-crops-using-an-integrative-and-multi-scale-modeling-platform
#13
Amy Marshall-Colon, Stephen P Long, Douglas K Allen, Gabrielle Allen, Daniel A Beard, Bedrich Benes, Susanne von Caemmerer, A J Christensen, Donna J Cox, John C Hart, Peter M Hirst, Kavya Kannan, Daniel S Katz, Jonathan P Lynch, Andrew J Millar, Balaji Panneerselvam, Nathan D Price, Przemyslaw Prusinkiewicz, David Raila, Rachel G Shekar, Stuti Shrivastava, Diwakar Shukla, Venkatraman Srinivasan, Mark Stitt, Matthew J Turk, Eberhard O Voit, Yu Wang, Xinyou Yin, Xin-Guang Zhu
Multi-scale models can facilitate whole plant simulations by linking gene networks, protein synthesis, metabolic pathways, physiology, and growth. Whole plant models can be further integrated with ecosystem, weather, and climate models to predict how various interactions respond to environmental perturbations. These models have the potential to fill in missing mechanistic details and generate new hypotheses to prioritize directed engineering efforts. Outcomes will potentially accelerate improvement of crop yield, sustainability, and increase future food security...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28549725/understanding-the-hydrologic-control-of-n-cycle-effect-of-water-filled-pore-space-on-heterotrophic-nitrification-denitrification-and-dissimilatory-nitrate-reduction-to-ammonium-mechanisms-in-unsaturated-soils
#14
C Mekala, Indumathi M Nambi
Irrigation practice will be effective if it supplies optimal water and nutrients to crops and act as a filter for contaminants leaching to ground water. There is always a scope for improving the fertilizer use efficiency and scheduling of wastewater irrigation if the fate and transport of nutrients particularly nitrogenous compounds in the soil are well understood. In the present study, nitrogen transport experiments for two different agricultural soils are performed under varying saturation 33, 57, 78% water filled pore space for sandy soil 1 and 52, 81 and 96% for loam soil 2...
July 2017: Journal of Contaminant Hydrology
https://www.readbyqxmd.com/read/28542198/optimization-of-black-box-models-with-uncertain-climatic-inputs-application-to-sunflower-ideotype-design
#15
Victor Picheny, Ronan Trépos, Pierre Casadebaig
Accounting for the interannual climatic variations is a well-known issue for simulation-based studies of environmental systems. It often requires intensive sampling (e.g., averaging the simulation outputs over many climatic series), which hinders many sequential processes, in particular optimization algorithms. We propose here an approach based on a subset selection in a large basis of climatic series, using an ad-hoc similarity function and clustering. A non-parametric reconstruction technique is introduced to estimate accurately the distribution of the output of interest using only the subset sampling...
2017: PloS One
https://www.readbyqxmd.com/read/28540573/optimization-of-multi-environment-trials-for-genomic-selection-based-on-crop-models
#16
R Rincent, E Kuhn, H Monod, F-X Oury, M Rousset, V Allard, J Le Gouis
We propose a statistical criterion to optimize multi-environment trials to predict genotype × environment interactions more efficiently, by combining crop growth models and genomic selection models. Genotype × environment interactions (GEI) are common in plant multi-environment trials (METs). In this context, models developed for genomic selection (GS) that refers to the use of genome-wide information for predicting breeding values of selection candidates need to be adapted. One promising way to increase prediction accuracy in various environments is to combine ecophysiological and genetic modelling thanks to crop growth models (CGM) incorporating genetic parameters...
May 24, 2017: TAG. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik
https://www.readbyqxmd.com/read/28539930/nonlinear-porous-diffusion-modeling-of-hydrophilic-ionic-agrochemicals-in-astomatous-plant-cuticle-aqueous-pores-a-mechanistic-approach
#17
Eloise C Tredenick, Troy W Farrell, W Alison Forster, Steven T P Psaltis
The agricultural industry requires improved efficacy of sprays being applied to crops and weeds in order to reduce their environmental impact and deliver improved financial returns. Enhanced foliar uptake is one means of improving efficacy. The plant leaf cuticle is known to be the main barrier to diffusion of agrochemicals within the leaf. The usefulness of a mathematical model to simulate uptake of agrochemicals in plant cuticles has been noted previously in the literature, as the results of each uptake experiment are specific to each formulation of active ingredient, plant species and environmental conditions...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28536708/performance-of-sorghum-varieties-under-variable-rainfall-in-central-tanzania
#18
Barnabas M Msongaleli, S D Tumbo, N I Kihupi, Filbert B Rwehumbiza
Rainfall variability has a significant impact on crop production with manifestations in frequent crop failure in semiarid areas. This study used the parameterized APSIM crop model to investigate how rainfall variability may affect yields of improved sorghum varieties based on long-term historical rainfall and projected climate. Analyses of historical rainfall indicate a mix of nonsignificant and significant trends on the onset, cessation, and length of the growing season. The study confirmed that rainfall variability indeed affects yields of improved sorghum varieties...
2017: International Scholarly Research Notices
https://www.readbyqxmd.com/read/28536585/exploring-niches-for-short-season-grain-legumes-in-semi-arid-eastern-kenya-coping-with-the-impacts-of-climate-variability
#19
Anne Sennhenn, Donald M G Njarui, Brigitte L Maass, Anthony M Whitbread
Climate variability is the major risk to agricultural production in semi-arid agroecosystems and the key challenge to sustain farm livelihoods for the 500 million people who inhabit these areas worldwide. Short-season grain legumes have great potential to address this challenge and help to design more resilient and productive farming systems. However, grain legumes display a great diversity and differ widely in growth, development, and resource use efficiency. Three contrasting short season grain legumes common bean (Phaseolus vulgaris L...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28517959/pomics-a-simulation-disease-model-for-timing-fungicide-applications-in-management-of-powdery-mildew-of-cucurbits
#20
Zaiton Sapak, Moin U Salam, Elizabeth J Minchinton, Garry P V MacManus, Daryl Joyce, Victor Joseph Galea
A weather-based simulation model, called POMICS, was constructed to predict fungicide application scheduling to manage powdery mildew of cucurbits. The model was developed on the principle that conditions favorable for Podosphaera xanthii, a causal pathogen of this crop disease, generate a number of infection cycles in a single growing season. The model consists of two components that: (i) simulate the disease progression of P. xanthii in secondary infection cycles under natural conditions and (ii) predict the disease severity with application of fungicides at any recurrent disease cycles...
May 18, 2017: Phytopathology
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